ABSTRACT
Objective To analyze the awareness on health among high school students and its influencing factors in Guangdong. Methods Multi-stage sampling and questionnairs "2009 health awareness survey of the Chinese citizens" developed by our Department of Health, were used. Data were analyzed by multivariate multilevel model under MLwinN 2.19 software. Results The mean scores on knowledge and ideas, behaviors and related skills among 1606 high school students of Guangdong province, were 69.08 ± 14.81,60.05 ± 16.85 and 74.99 ± 21.17 respectively. Three items on health showed that they all related to each other and relations between grades (0.972,0.715 and 0.855) were greater than the individuals (0.565,0.426 and 0.438). Conclusion Factors as students from outside the Pearl River Delta region or from the rural areas, being male, at general secondary schools, at grade one, with poor academic performance and more pocket money etc., had lower levels on those related information of health.
ABSTRACT
The main purpose of this paper is to explore the applicability of multivariate multilevel models for bioequivalence evaluation. Using an example of a 4×4 cross-over test design in evaluating bioequivalence of homemade and imported rosiglitazone maleate tablets,this paper illustrated the multivariate-model-based method for partitioning total variances of In (AUC) and In (C_(max)) in the framework of multilevel models. It examined the feasibility of multivariate multilevel models in directly evaluating average bioequivalence (ABE),population bioequivalence (PBE) and individual bioequivalenc (IBE). Taking into account the correlation between In (AUC) and In (C_(max)) of rosiglitazone maleate tablets,the proposed models suggested no statistical difference between the two effect measures in their ABE bioequivalence via joint tests,whilst a contradictive conclusion was derived based on univariate multilevel models. Furthermore,the PBE and IBE for both In (AUG) and In(C_(max)) of the two types of tablets were assessed with no statistical difference based on estimates of variance components from the proposed models. Multivariate multilevel models could be used to analyze bioequivalence of multiple effect measures simultaneously and they provided a new way of statistical analysis to evaluate bioequivalence.
ABSTRACT
Objective To provide evidence for setting up violence intervention programs in rural middle schools, through studying the influential factors. Methods Taking variables including emotional, physical and sexual violence in the past year as the multi-dependent variables before multivariate multilevel model logistic regression model was adopted to analyze the correlations among the three kinds of violence and the influential factors. Results Among 3620 respondents, the incidence rates of emotional, physical and sexual violence weres 21.5%, 24.3% and 2.0% respectively. The correlation coefficients between emotional violence vs. physical violence, emotional violence vs. sexual violence, physical violence vs. sexual violence were 0.337,0.133, 0.131 respectively when the random effect of class difference was separated by multivariate multilevel model. There was an internal aggregation of the incidence rate on physical violence in different grades (X2=4.286, P=0.038) and an internal relevant between emotional violence vs. sexual violence (X2=4.239, P=0,039), physical violence vs. sexual violence (X2=4.482, P=0.034). The influential factors on the incidence rates of violence would include:sex, smoking status, family without harmony, tendency of bullying others and the level on self-esteem etc. Conclusion When the random effect of class difference was separated by multivariate multilevel model, the estimated results would be more precise. Other than paying more attention to both individual and family influential factors when taking measures to reduce the incidence rate of violence in high school students, the effect of environment in the class should not be ignored.